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Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs
Presenter
- Adam Oberman
October 5, 2020
IPAM
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning
Presenter
- Mikhail Belkin
April 21, 2020
IPAM
Assumption-free prediction intervals for black-box regression algorithms
Presenter
- Aaditya Ramdas
April 21, 2020
IAS
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry
Presenter
- Daniel Durstewitz
February 18, 2020
IPAM
Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension
Presenter
- Haim Sompolinsky
November 19, 2019
IPAM
Quantum annealing and machine learning - new directions of quantum
Presenter
- Masayuki Ohzeki
November 19, 2019
IPAM
Some Statistical Results on Deep Learning: Interpolation, Optimality and Sparsity
Presenter
- Guang Cheng
November 13, 2019
IAS
An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
October 30, 2019
IPAM